Machine Learning courses

1656 Courses

Machine Learning and its Applications

Join us for an exhilarating course on Machine Learning and its Applications, offered by the esteemed Indian Institute of Technology Guwahati through Coursera. Delve into the pivotal roles of classification and regression within AI in engineering, and emerge with a profound comprehension of key machine learning concepts. This course empowers student.

AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (简体中文)

在本课程中，您将学习机器学习 (ML) 和人工智能 (AI) 的基础知识。您将探索 AI、ML、深度学习和新兴的生成式人工智能领域之间的联系，充分理解 AI 的基础术语，为深入探究奠定基础。此外，您将了解使用 AI 和 ML 功能的精选 Amazon Web Services (AWS) 服务，并获得关于如何使用这些工具解决现实问题和推动各行业创新的实用见解。课程级别：基础级时长：1 小时.

AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (한국어)

In this course, you'll delve into the fundamentals of Machine Learning (ML) and Artificial Intelligence, examining the relationships among AI, ML, deep learning, and emerging generative AI. You'll solidify your understanding of essential AI terms, setting a foundation for deeper exploration. Additionally, you'll learn about how different AWS s.

AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Bahasa Indonesia)

Dalam kursus ini, Anda akan menjelajahi siklus hidup aplikasi kecerdasan buatan generatif (AI generatif), yang meliputi: Mendefinisikan kasus penggunaan bisnis Memilih model fondasi (FM) Meningkatkan kinerja FM Mengevaluasi kinerja FM Penggunaan dan dampaknya terhadap tujuan bisnis Kursus ini adalah pengantar untuk AI generatif, mendalami ko.

AWS Skill Builder

Responsible Artificial Intelligence Practices (Bahasa Indonesia)

Dalam kursus ini, Anda akan belajar tentang praktik AI yang bertanggung jawab. Pertama, Anda akan diperkenalkan dengan apa itu AI yang bertanggung jawab. Anda akan belajar cara mendefinisikan AI yang bertanggung jawab, memahami tantangan yang coba diatasi oleh AI yang bertanggung jawab dan mengeksplorasi dimensi inti AI yang bertanggung jawab. K.

AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Bahasa Indonesia)

Exploring Artificial Intelligence Use Cases and Applications (Bahasa Indonesia) Dalam kursus ini, Anda akan menjelajahi kasus penggunaan kecerdasan buatan (AI), machine learning (ML), dan kecerdasan buatan generatif (AI generatif) di dunia nyata di berbagai industri. Area-area ini meliputi pelayanan kesehatan, keuangan, marketing, hiburan, dan ba.

Udemy

ChatGPT Secrets | ChatGPT Mastery | ChatGPT Masterclass

Udemy

Build A ChatGPT AI in JavaScript - OpenAI - Code Along

Join the exciting journey of building your own AI assistant using JavaScript and OpenAI's ChatGPT in this engaging course. Perfect for budding developers eager to explore the crossroads of artificial intelligence and machine learning, this course provides a practical, hands-on approach to mastering the world-renowned ChatGPT technology. Offered.

Udemy

Supercharge AI with Knowledge Graphs: RAG System Mastery NEW

Udemy

Generative AI Mastery With 15+ Real Time Projects

Generative AI Mastery With 15+ Real Time Projects - Udemy Enroll now in the Generative AI Mastery Course on Udemy and transform your machine learning skills with hands-on projects and expert guidance!

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Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Voice assistant Alisa. This system, without human help, will always find the answer to any question of interest, turn on music, answer the call and much more.

Selecting relevant advertising in browsers is not an easy process for a person, but it is quick for a computer. The system will analyze the viewing data and select what a particular user will like. The same system is used on various marketplaces - products that a person viewed or purchased are offered.

Chatbots in various dialogues. For example, many banks use bots to solve customer problems. It's convenient and fast.

Data security: Machine learning models can identify data security vulnerabilities before they become breaches. By analyzing past experiences, machine learning models can predict future high-risk actions so that risk can be mitigated proactively.

Finance: Banks, trading brokers and fintech firms use machine learning algorithms to automate trading and provide financial advisory services to investors. Bank of America uses chatbot Erica to automate customer support.

Healthcare: Machine learning is used to analyze massive medical data sets to speed up the discovery of treatments and cures, improve patient outcomes, and automate routine processes to prevent human errors. For example, IBM Watson uses data mining to provide doctors with data they can use to personalize patient care.

Fraud detection: AI is used in the finance and banking sector to autonomously analyze large numbers of transactions to identify fraudulent activities in real time. Technology services company Capgemini says fraud detection systems using machine learning and analytics reduce fraud investigation time by 70% and increase detection accuracy by 90% .

Retail: AI researchers and developers are using machine learning algorithms to develop AI recommendation engines that make relevant product suggestions based on shoppers' past choices, as well as historical, geographic and demographic data.

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

Average knowledge of statistics and probability.

Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

Understanding Calculus.

Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!